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1、西南交通大學(xué)碩士學(xué)位論文基于分形理論的刀具磨損狀態(tài)識(shí)別研究姓名：朱麗琴申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：測(cè)試計(jì)量技術(shù)及儀器指導(dǎo)教師：傅攀20090101西南交通大學(xué)碩士研究生學(xué)位論文第1I頁(yè)AbstractInmUlmgprocess,surfacequalityanddimensionalaccuracyoftheworkpieceisaffectedbycutting-toolweal"condition．Tosurveyanddefinecutting-toolwearexactly,itisallimportantpr
2、obleminautomationproductiontobeurgemlysolvedatpresent．Cutting-toolwe&risaverycomplexprocess．VariousfactorshaveadirectorIndirecteffect011cutting-toolweal'，resultinginuncertainty．Soit．isdifficultforexperimentaldataandresulttohavegoodstability．Furtherstudieshavesh
3、ownthatcutting-toolwearisnon-linear,randomanddissipated．TherearealargenumberOfnon-stationarysignalsinthefieldsofconditionmonitoringandfaultdiagnosisforcutting-t001．Researchinganddevelopingeffectiveengineeringmethodsforprocessingnon-stationarysignalsarenecessary
4、forpromotingsustaineddevelopmentoffaultdiagnosistechnology．Vibrationanalysisisaveryimportantmeansforconditionmonitoringandfaultdiagnosis．Thispaperaimsattheresearchonthemethodsofsignalprocessingandpatternrecognition．Therefore，firstly,anexperimentalplatformwasset
5、upforthefailurediagnosisofcutting-tool，onwhichwehavedonealotofexperiments．Thenthevibrationsignalsofcutting-toolindifferentwearconditionswerecollected．Waveletnoisereductionisusedtopretreatthevibrationsignals．Themethodoffractalrecognitioncarldiagnosticatetheweard
6、egreequantificationally．Accordingtothenon-stationarityofvibrationsignals，weintroducethede-noisingmethodbasedonwaveletdecompositionandreconfiguration．Theinfluenceondenoisingeffectiscomparedbyusingdifferentmotherwaveletandwaveletthresholdrules．Forthetestdataofthi
7、sthesis，thedenoisingeffectadoptingthemotherwavelet‘db4’andthedefaultthresholdruleisthebest．Thispaperintroducesthealgorithmofboxdimensionandinformationdimensionfromthepointofviewofengineeringapplication．Theinfluenceofnoiseonthecomputationalprecisionofboxdimensit
8、ionisdiscussed．Thealgorithmofcorrelationdimension(G-Palgorithm)isinterpretedandthemethodtochooseparametersisgiven．Time-delayandMininlunlEmbeddingDimensionhaveobtainedbyusing
